I’m Abhishek. I work in technology, mostly around financial technology, payment systems, APIs, enterprise platforms, and large-scale technology ecosystems.

But honestly, what keeps me interested is not just building or running systems. I like understanding what is actually happening underneath, why something behaves the way it does, and whether there is a better or smarter way of doing it.

I have always liked experimenting.

I usually start with a question, sometimes a small one. Then I try something, break it, fix it, change it, and see what happens. Sometimes it works. Sometimes it doesn’t. And sometimes one small experiment takes me down a completely different rabbit hole.

That’s how I slowly got into areas like Machine Learning, graph-based approaches, fraud detection, LLMs, AI Engineering, developer tools, and local AI.

I don’t come from a path where I can claim to be an expert in all of these things. In fact, that’s not really the point.

I enjoy being the person who says:

“What if we try this?”

And then actually tries it.

This blog is where I want to document some of those experiments.

Some will be about AI and LLMs. Some will be about systems, data, engineering, or financial technology. Some may be deep technical dives. Others may simply be something interesting I stumbled upon and couldn’t stop thinking about.

I’ll write about things that work, things that don’t work, things I learn along the way, and probably a few rabbit holes that I had no intention of entering in the first place.

I don’t want this to be a place where I pretend to have all the answers.

I want it to be a place where I can experiment, question assumptions, learn, build, and share what I find.

If you like technology, AI, engineering, systems, or simply asking “what if?”, hopefully you’ll find something interesting here.

And if you find something wrong with what I write, tell me. That’s part of the experiment too.

Code. Experiment. Learn. Repeat.